GeoDeploy: Geo-Distributed Application Deployment Using Benchmarking

Geo-distributed web-applications (GWA) can be deployed across multiple geographically separated datacenters to reduce the latency of access for users. Finding a suitable deployment for a GWA is challenging due to the requirement to consider a number of different parameters, such as host configurations across a federated infrastructure. The ability to evaluate multiple deployment configurations enables an efficient outcome to be determined, balancing resource usage while satisfying user requirements. We propose <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">GeoDeploy</small>, a framework designed for finding a deployment solution for GWA. We evaluate <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">GeoDeploy</small> using both a formal algorithmic model and a practical cloud-based deployment. We also compare our approach with other existing techniques.

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Publication Details

Journal
IEEE Transactions on Parallel and Distributed Systems
Published
2024-09-27
DOI
https://doi.org/10.1109/tpds.2024.3470532
Citations
1
Primary Topic
Service-Oriented Architecture and Web Services
Type
article
Field-Weighted Citation Impact
0.78
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GeoDeploy: Geo-Distributed Application Deployment Using Benchmarking

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IEEE Transactions on Parallel and Distributed Systems
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GeoDeploy: Geo-Distributed Application Deployment Using Benchmarking

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article en
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Abstract

Geo-distributed web-applications (GWA) can be deployed across multiple geographically separated datacenters to reduce the latency of access for users. Finding a suitable deployment for a GWA is challenging due to the requirement to consider a number of different parameters, such as host configurations across a federated infrastructure. The ability to evaluate multiple deployment configurations enables an efficient outcome to be determined, balancing resource usage while satisfying user requirements. We propose <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">GeoDeploy</small>, a framework designed for finding a deployment solution for GWA. We evaluate <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">GeoDeploy</small> using both a formal algorithmic model and a practical cloud-based deployment. We also compare our approach with other existing techniques.

IEEE Transactions on Parallel and Distributed SystemsVol. 35(12)
Zhejiang University of Technology (CN), Swinburne University of Technology (AU), University of Newcastle Australia (AU), Cardiff University (GB), Newcastle University (GB)
Openalex Percentile: Top 21%
Service-Oriented Architecture and Web Services
0.78
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GeoDeploy: Geo-Distributed Application Deployment Using Benchmarking — Yinhao Li, Omer Rana, et al. · IEEE Transactions on Parallel and Distributed Systems (2024) | TGRS Research Map | TGRS